Methodology
How AI for Insurance sources, verifies, and quality-gates every AI case study — where the data comes from, how it's checked, and how to flag a correction.
AI for Insurance is a source-linked evidence directory of real AI implementations in insurance. Each published record describes a documented deployment at a named (or, where the source withheld it, source-described) organization — not a hypothetical or an invented outcome. This page explains what the automated evidence gate checks, what the cited source supports, and what has not been independently verified.
Where the data comes from
Each case study originates from a traceable published source. That may be a vendor case study, press release, regulatory filing, conference talk, or news report documenting the deployment. Entries name and link to the cited source. A source publication date is shown only when that date is present in the record; we do not infer a date or source type when the evidence does not provide one.
How entries are quality-gated
Candidate implementations pass through automated extraction and a scoring gate before they are eligible to publish. The gate checks for an identifiable organization, a concrete problem and solution, and a traceable source. Entries that are too thin, low-confidence, or unsourced are held or excluded rather than published to pad a count. Passing this gate is not the same as a human fact-check or an independent audit. The site labels that status as an automated evidence-gate result, and reserves verified language for records that have a separate verification basis.
Sources and figures
Metrics are reproduced as stated by the cited source; we do not manufacture ROI figures or fill missing deployment timeframes. When the evidence record contains no reported metric or structured timeframe, the interface says “Not reported by source.” Other undemonstrated fields say “Not available in record.” Directory publication dates describe when substantive entries entered this corpus. Source publication dates are separate and appear only when known. Aggregate counts, medians, and ranges are computed from the underlying records; if the data does not support a number, the interface omits it or identifies it as missing.
Keeping entries current
Publishing an entry is not the end of source maintenance. On a recurring cycle, the pipeline checks whether each published entry's source link is still reachable. The latest successful result is shown as source link checked. That date proves link availability only; it is not a claim that every fact was re-verified on that day and it does not create a new substantive content date. Unreachable sources are flagged for remediation rather than silently presented as current evidence.
Accountability and corrections
The directory is maintained by a named editor with a public professional profile (see the byline above), backed by the automated sourcing and evidence pipeline described here. “Maintained by” identifies accountability for the corpus; it does not imply that the editor personally reviewed every extracted record. If you find an inaccuracy — a wrong metric, a misattributed company, or a stale source — please tell us and we will investigate, correct, or remove the entry.